UNISOC ums9230_6h10_Natv
Geekbench AI Score
337
Single Precision Score
345
Half Precision Score
669
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 03:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | UNISOC ums9230_6h10_Natv |
| Model ID | UNISOC ums9230_6h10_Natv |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 8 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
191
35.4 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.9 IPS |
|
|
Image Classification (Q)
|
100% |
498
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
651
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
781
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
1343
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
83% |
482
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.27 IPS |
|
|
Face Detection (Q)
|
95% |
1216
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
1295
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1559
2.02 IPS |
|
|
Style Transfer (HP)
|
89% |
1609
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
3392
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
750
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.6 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.2 IPS |
|
|
Text Classification (Q)
|
88% |
199
269.0 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.61 IPS |
|
|
Machine Translation (Q)
|
50% |
108
3.85 IPS |
